A Topology-Aware Performance Prediction Model for Distributed Deep Learning on GPU Clusters. - Zheyu Lin; Xukun Chen; Hanyu Zhao; Yunteng Luan; Zhi Yang 001; Yafei Dai (IEEE BigData, 2020)

GMLP: Building Scalable and Flexible Graph Neural Networks with Feature-Message Passing. - Wentao Zhang 001; Yu Shen 003; Zheyu Lin; Yang Li 106; Xiaosen Li; Wen Ouyang; Yangyu Tao; Zhi Yang 001; Bin Cui 001 (CoRR, 2021)

Deep and Flexible Graph Neural Architecture Search. - Wentao Zhang 001; Zheyu Lin; Yu Shen 003; Yang Li 106; Zhi Yang 001; Bin Cui 001 (ICML, 2022)

PaSca: A Graph Neural Architecture Search System under the Scalable Paradigm. - Wentao Zhang 001; Yu Shen 003; Zheyu Lin; Yang Li 106; Xiaosen Li; Wen Ouyang; Yangyu Tao; Zhi Yang 001; Bin Cui 001 (WWW, 2022)

DFG-NAS: Deep and Flexible Graph Neural Architecture Search. - Wentao Zhang 001; Zheyu Lin; Yu Shen 003; Yang Li 106; Zhi Yang 001; Bin Cui 001 (CoRR, 2022)

A text mining and grounded theory analysis of the dissemination of public opinion toward food safety incidents. - Jiayin Pei; Zheyu Lin; Hongrui Cui; Peng Shan (J. Comput. Methods Sci. Eng., 2025)

Concept Enhancement Engineering: A Lightweight and Efficient Robust Defense Against Jailbreak Attacks in Embodied AI. - Jirui Yang; Zheyu Lin; Shuhan Yang; Zhihui Lu 002; Xin Du 002 (CoRR, 2025)